Connectionists: Ambient Intelligence for Healthcare (AmI4HC2023) Workshop with MICCAI2023 - Deadline June 25

[Ehsan Adeli]

*

Hi,

The Ambient Intelligence for Healthcare (AmI4HC2023 
https://ami4hc.stanford.edu <https://ami4hc.stanford.edu>) Workshop will 
take place on Oct 8, 2023, in Vancouver,  Canada, in conjugation with 
MICCAI 2023. Link to Flyer 
<https://ami4hc.stanford.edu/sites/g/files/sbiybj28876/files/media/file/ami4hc2023-cfp.pdf>. 



Ambient Intelligence (AmI) defines the future vision of intelligent 
computing where sensors and processors are embedded into everyday 
devices and the environment will seamlessly adapt to the user's 
requirements. AmI is increasingly seeing applications in healthcare 
(e.g., for quality improvement, senior care at home, ensuring clinician 
and patient safety by monitoring staff compliance with clinical best 
practices or relieving staff of burdensome documentation tasks). Despite 
the promise of ambient intelligence to improve the quality of care, the 
continuous collection of large amounts of sensor data in healthcare 
settings presents numerous challenges from sensor technologies, data 
management, technical model development, and causal inference to 
ethical, privacy, bias, and fairness. This workshop aims to shed light 
on this novel technology.


This workshop will have a joint program with the Affective Intelligence 
for Computer-Assisted Interventions (AICAI 
<https://aicai2023.site/>)workshop.


Topics of interest include (but are not limited to):

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    Intelligent Environments for Healthcare

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    Integration of Ambient Sensors with Medical Imaging, Radiology, or
    Neuroscience

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    Ambient Intelligence in Hospital Spaces

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    Ambient Intelligence in Daily Living Spaces

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    Behavior Recognition in Complex Scenes

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    Learning with Big Data

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    Causal Inference and Causal Reinforcement Learning for Healthcare

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    Computational Neurorehabilitation

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    Rare Event Detection (e.g., falls)

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    Generalization to New Environments

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    Pervasive Computing

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    Unobstructed Embedded Devices

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    Sensors and User Interfaces

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    Context Awareness

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    Human Activity Recognition

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    Human Location and Pose Recovery in Physical Spaces

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    (Semi-)Automated Orofacial Assessment

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    Health or Safety Monitoring

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    Assessment of Depression or Anxiety

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    Adaptive Rehabilitation Technologies

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    Longitudinal (Remote) Monitoring of Symptoms

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    Automating Critical Care Support

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    Reducing Patient Waiting Time

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    Monitoring Vital Signs

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    Diagnosis and Care in Complicated Scenarios

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    Social and Ethical Challenges

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    Privacy in Computer Vision

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    Bias and Fairness


Dates:

Full Paper Submission Deadline: June 15, 2023

Notification of Acceptance:July 16, 2023


Keynote speakers:

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    Zakia Hammal,
    <https://www.ri.cmu.edu/ri-faculty/zakia-hammal/>Carnegie Mellon
    University

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    Teodor Grantcharov,
    <https://profiles.stanford.edu/teodor-grantcharov>Stanford University

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    Tanveer Syeda-Mahmood,
    <https://research.ibm.com/people/tanveer-syeda-mahmood>IBM Research


Website: https://ami4hc.stanford.edu <https://ami4hc.stanford.edu>

Paper submission:https://cmt3.research.microsoft.com/AmI4HC2023/ 
<https://cmt3.research.microsoft.com/AmI4HC2023/>


Thank you,

*AmI4HC2023 Organizers*

Ehsan Adeli, Stanford University

Babak Taati, TRI, UHN  & University of Toronto

James Cotton, Shirley Ryan AbilityLab & Northwestern University

Itir Önal Ertuğrul, Utrecht University

Fei-Fei Li, Stanford University

James Landay, Stanford University

Anima Anandkumar, NVIDIA & CalTech

Jeff Cohn, University of Pittsburgh & Carnegie Mellon University

Nadia Berthouze, University College London

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